Neural Networks for Predicting the Behavior of Preconditioned Iterative Solvers

Author:

Holloway America,Chen Tzu-Yi

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Chen, T.-Y.: Preconditioning sparse matrices for computing eigenvalues and solving linear systems of equations. PhD thesis, University of California at Berkeley (December 2001)

2. Chow, E., Saad, Y.: Experimental study of ILU preconditioners for indefinite matrices. J. Comp. and Appl. Math. 16, 387–414 (1997)

3. Xu, S., Lee, E., Zhang, J.: An interim report on preconditioners and matrices. Technical Report Technical Report 388-03, Department of Computer Science, University of Kentucky (2003)

4. Bhowmick, S., Eijkhout, V., Freund, Y., Fuentes, E., Keyes, D.: Application of machine learning to the selection of sparse linear solvers. Submitted (2006)

5. Xu, S., Zhang, J.: Solvability prediction of sparse matrices with matrix structure-based preconditioners. In: Proceedings of Preconditioning 2005, Atlanta, Georgia (May 2005)

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